» Articles » PMID: 34342268

Studying Microtemporal, Within-Person Processes of Diet, Physical Activity, and Related Factors Using the APPetite-Mobile-App: Feasibility, Usability, and Validation Study

Overview
Publisher JMIR Publications
Date 2021 Aug 3
PMID 34342268
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Diet and physical activity (PA) have a major impact on physical and mental health. However, there is a lack of effective strategies for sustaining these health-protective behaviors. A shift to a microtemporal, within-person approach is needed to capture dynamic processes underlying eating behavior and PA, as they change rapidly across minutes or hours and differ among individuals. However, a tool that captures these microtemporal, within-person processes in daily life is currently not present.

Objective: The APPetite-mobile-app is developed for the ecological momentary assessment of microtemporal, within-person processes of complex dietary intake, objectively recorded PA, and related factors. This study aims to evaluate the feasibility and usability of the APPetite-mobile-app and the validity of the incorporated APPetite-food record.

Methods: The APPetite-mobile-app captures dietary intake event-contingently through a food record, captures PA continuously through accelerometers, and captures related factors (eg, stress) signal-contingently through 8 prompts per day. Empirical data on feasibility (n=157), usability (n=84), and validity (n=44) were collected within the Eat2beNICE-APPetite-study. Feasibility and usability were examined in healthy participants and psychiatric patients. The relative validity of the APPetite-food record was assessed with a subgroup of healthy participants by using a counterbalanced crossover design. The reference method was a 24-hour recall. In addition, the energy intake was compared with the total energy expenditure estimated from accelerometry.

Results: Good feasibility, with compliance rates above 80% for prompts and the accelerometer, as well as reasonable average response and recording durations (prompt: 2.04 min; food record per day: 17.66 min) and latencies (prompts: 3.16 min; food record: 58.35 min) were found. Usability was rated as moderate, with a score of 61.9 of 100 on the System Usability Scale. The evaluation of validity identified large differences in energy and macronutrient intake between the two methods at the group and individual levels. The APPetite-food record captured higher dietary intakes, indicating a lower level of underreporting, compared with the 24-hour recall. Energy intake was assessed fairly accurately by the APPetite-food record at the group level on 2 of 3 days when compared with total energy expenditure. The comparison with mean total energy expenditure (2417.8 kcal, SD 410) showed that the 24-hour recall (1909.2 kcal, SD 478.8) underestimated habitual energy intake to a larger degree than the APPetite-food record (2146.4 kcal, SD 574.5).

Conclusions: The APPetite-mobile-app is a promising tool for capturing microtemporal, within-person processes of diet, PA, and related factors in real time or near real time and is, to the best of our knowledge, the first of its kind. First evidence supports the good feasibility and moderate usability of the APPetite-mobile-app and the validity of the APPetite-food record. Future findings in this context will build the foundation for the development of personalized lifestyle modification interventions, such as just-in-time adaptive interventions.

Citing Articles

Initial Requirements for the Prototyping of an App for a Psychosocial Rehabilitation Project: An Integrative Review.

Alfredo Ardisson Cirino Campos F, Feitosa F, Moll M, Reis I, Sanchez Garcia J, Ventura C Int J Environ Res Public Health. 2025; 22(2).

PMID: 40003535 PMC: 11855392. DOI: 10.3390/ijerph22020310.


Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity.

Metzendorf M, Wieland L, Richter B Cochrane Database Syst Rev. 2024; 2:CD013591.

PMID: 38375882 PMC: 10877670. DOI: 10.1002/14651858.CD013591.pub2.


Characterizing perceived usability and its correlation with smoking cessation: An analysis of user assessments of the smoking cessation app quitSTART.

Chen Z, Siegel L, Prutzman Y, Wiseman K Internet Interv. 2024; 35:100714.

PMID: 38313141 PMC: 10835281. DOI: 10.1016/j.invent.2024.100714.


Microtemporal Dynamics of Dietary Intake, Physical Activity, and Impulsivity in Adult Attention-Deficit/Hyperactivity Disorder: Ecological Momentary Assessment Study Within Nutritional Psychiatry.

Ruf A, Neubauer A, Koch E, Ebner-Priemer U, Reif A, Matura S JMIR Ment Health. 2023; 10:e46550.

PMID: 37590053 PMC: 10472180. DOI: 10.2196/46550.


A Tailored Gender-Sensitive mHealth Weight Loss Intervention (I-GENDO): Development and Process Evaluation.

Pape M, Farber T, Seiferth C, Roth T, Schroeder S, Wolstein J JMIR Form Res. 2022; 6(10):e38480.

PMID: 36301614 PMC: 9650578. DOI: 10.2196/38480.


References
1.
Carter M, Burley V, Nykjaer C, Cade J . 'My Meal Mate' (MMM): validation of the diet measures captured on a smartphone application to facilitate weight loss. Br J Nutr. 2012; 109(3):539-46. DOI: 10.1017/S0007114512001353. View

2.
Rhodes R, Janssen I, Bredin S, Warburton D, Bauman A . Physical activity: Health impact, prevalence, correlates and interventions. Psychol Health. 2017; 32(8):942-975. DOI: 10.1080/08870446.2017.1325486. View

3.
Tomko R, Solhan M, Carpenter R, Brown W, Jahng S, Wood P . Measuring impulsivity in daily life: the momentary impulsivity scale. Psychol Assess. 2013; 26(2):339-49. PMC: 4112948. DOI: 10.1037/a0035083. View

4.
Mason T, DO B, Wang S, Dunton G . Ecological momentary assessment of eating and dietary intake behaviors in children and adolescents: A systematic review of the literature. Appetite. 2019; 144:104465. PMC: 7781199. DOI: 10.1016/j.appet.2019.104465. View

5.
Dunton G . Sustaining Health-Protective Behaviors Such as Physical Activity and Healthy Eating. JAMA. 2018; 320(7):639-640. PMC: 7524543. DOI: 10.1001/jama.2018.6621. View